You don’t use mixins or HOCs in your
render
method, which is a key piece of React’s
dynamic
composition model. When you compose in
render
, you get to take advantage of the full React lifecycle. This point is subtle, and probably deserves its own blog post at some point in the future, but I digress. 😅

dynamic

So in summary:
using a HOC with ES6 classes poses many of the same problems that mixins did with
createClass
, just re-arranged a bit
.

using a HOC with ES6 classes poses many of the same problems that mixins did with
createClass
, just re-arranged a bit

Welcome to the new mixins! 🤗

In addition to these drawbacks,
HOCs introduce a lot of ceremony
due to the fact that they
wrap
components and create new onesinstead of being
mixed in
to existing components. The component that is returned from the HOC needs to act as similarly as it can to the component that it wraps (it should take the same props, etc.) This fact alone requires a lot of boilerplate code just to build a robust HOC.

The first time I ever saw a render prop was in
Cheng Lou
’s
talk on react-motion
at React Europe where he talked about the
<Motion children>
API that they were using to share interpolated animation values with the parent component. If I had to try and define it, I’d say something like this:

More generally speaking, the idea is this: instead of “mixing in” or decorating a component to share behavior,
just render a regular component with a function prop that it can use to share some state with you
.

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Using Atomic Transactions to Power an Idempotent API
was published on
September 6, 2017
from
San Francisco
.

Using Atomic Transactions to Power an Idempotent API
September 6, 2017
San Francisco

Contents

The software industry as a whole contains a lot of people doing a lot of different things, but for every developer working on new embedded firmware, there’s about ten building the linchpin of modern software – CRUD apps that serve requests over HTTP. A lot of these apps are backed by MVC frameworks like Ruby on Rails or ASP.NET, and backed by ACID-compliant relational databases like Postgres or SQL Server.

Sharp edges in production can lead to all kinds of unexpected cases during the execution of an HTTP request – client disconnects, application bugs that fail a request midway through, and timeouts are all extraordinary conditions that will occur regularly given enough request volume. Databases can protect applications against integrity problems with their transactions, and it’s worth taking a little time to think about how to make best use of them.

There’s a surprising symmetry between an HTTP request and a database’s transaction. Just like the transaction, an HTTP request is a transactional unit of work – it’s got a clear beginning, end, and result. The client generally expects a request to execute atomically and will behave as if it will (although that of course varies based on implementation). Here we’ll look at an example service to see how HTTP requests and transactions apply nicely to one another.

I’m going to make the case that for a common idempotent HTTP request, requests should map to backend transactions at 1:1. For every request, all operations are committed or aborted as part of a single transaction within it.

At first glance requiring idempotency may sound like a sizeable caveat, but in many APIs operations can be made to be idempotent by massaging endpoint verbs and behavior, and moving non-idempotent operations like network calls to background jobs.

Some APIs can’t be made idempotent and those will need a little extra consideration. We’ll look at what to do about them in more detail later as a follow up to this article.

Let’s build a simple test service with a single “create user” endpoint. A client hits it with an
email
parameter, and the endpoint responds with status
201 Created
to signal that the user’s been created. The endpoint is also idempotent so that if a client hits the endpoint again with the same parameter, it responds with status
200 OK
to signal that everything is still fine.

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